Abstract: A wall area estimation system generates an estimated wall area measurement report of a building. Included in the wall area measurement estimate report are multiple line drawings of a building having a roof. Two of the multiple line drawings are perspective views from an angle of view above the building. A first of the perspective views is substantially centered on a first substantially vertical exterior corner of the house that is approximately opposite of a second substantially vertical exterior corner of the house on which a second of the perspective views is substantially centered. The first and second of the perspective views include a line drawing of the roof that is transparent or translucent to show interior surfaces of the walls of the building in the first and second of the perspective views. The walls of the interior surfaces shown are shaded darker than the walls of the exterior.

Abstract: A system that allows the remote measurement of the size, geometry, pitch and orientation of the roof sections of a building and then uses the information to provide an estimate to repair or replace the roof, or to install equipment thereon. The system includes an aerial image file database that shows aerial images of buildings in a designated area according to address. The slope and orientation images are typically oblique perspective views and top plan views of the buildings in the area. The system also includes an image analysis and calibration feature that enables the viewer to closely estimate the size, geometry and orientation of the building's roof sections. The information can then be used to prepare a cost estimate for the repair or replacement of the roof or installation of roof equipment.

Abstract: A system generates an estimated floor area measurement of a building based on the calculated estimated total roof area of the roof of the building. This is based on a correlation between the size of the building roof and the size of the building. Typically, the floor area of a single full floor of the building is roughly the size of the roof of the building if the roof were flat with no slope. This in effect is turning the roof into a floor to generate estimated floor area. With additional adjustments to area measurements to account for multiple floors, roof overhang, wall width, internal building features such as walls and staircases, and/or obstructed views of the building in the aerial image(s), etc., an even more accurate floor area estimation may be generated.

Abstract: User interface systems and methods for roof estimation are described. Example embodiments include a roof estimation system that provides a user interface configured to facilitate roof model generation based on one or more aerial images of a building roof. In one embodiment, roof model generation includes image registration, image lean correction, roof section pitch determination, wire frame model construction, and/or roof model review. The described user interface provides user interface controls that may be manipulated by an operator to perform at least some of the functions of roof model generation. The user interface is further configured to concurrently display roof features onto multiple images of a roof. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: User interface systems and methods for roof estimation are described. Example embodiments include a roof estimation system that provides a user interface configured to facilitate roof model generation based on one or more aerial images of a building roof. In one embodiment, roof model generation includes image registration, image lean correction, roof section pitch determination, wire frame model construction, and/or roof model review. The described user interface provides user interface controls that may be manipulated by an operator to perform at least some of the functions of roof model generation. In one embodiment, the user interface provides user interface controls that facilitate the determination of pitch of one or more sections of a building roof. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: Methods and systems for roof estimation are described. Example embodiments include a roof estimation system, which generates and provides roof estimate reports annotated with indications of the size, geometry, pitch and/or orientation of the roof sections of a building. Generating a roof estimate report may be based on one or more aerial images of a building. In some embodiments, generating a roof estimate report of a specified building roof may include generating a three-dimensional model of the roof, and generating a report that includes one or more views of the three-dimensional model, the views annotated with indications of the dimensions, area, and/or slope of sections of the roof. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: Systems and methods are disclosed for determining a pitch of a roof of a structure by analyzing one or more images showing the roof, at least one of the one or more image showing the roof obtained with a camera of a user device and an image not obtained by the user device. The system uses the one or more images including an image obtained by the user device to generate a report for determination of an amount of materials needed for a construction project, the report including at least one image showing the structure and an estimated area of the construction project.

Abstract: Geometric correction of rough wireframe models derived from photographs may include rectification of either a 2D or 3D original wireframe model of a roof structure, derivation of metadata from the original wireframe, in-plane normalization of the wireframe, extrusion into a “rough” 3D wireframe based on the normalized wireframe, and correction of the “rough” 3D wireframe. The correction and normalization may be an iterative process based on initial pitch values, metadata derived from the original or corrected wireframe models and defined constraints regarding relationships between roof portions or segments. The iterative process may repeat adjusting the wireframe model until the adjusting converges to a stable state according to the various defined constraints.

Abstract: Systems and methods are disclosed for a property management system that runs on a smartphone and allows users to identify and track information on one or more properties and to receive property updates from the server. Systems and methods are also disclosed that use the orientation of and images captured by a smartphone camera to identify a facet of an object and to determine its pitch.

Abstract: System and methods for performing a risk management assessment of a property using at least aerial imagery of the property and additional data about the property that is evaluated against risk management criteria. Data acquired through aerial imagery includes identifying buildings and floor area of the buildings, condition of the buildings including roof and exterior walls, and identifying other property hazards. Additional data may include property information coming from multiple sources including city and County governments, contractors and insurance companies. The resulting risk management assessment may be used to settle insurance claims and to determine insurance products and premium rates offered on the property.

Abstract: A wall area estimation system generates an estimated wall area measurement of a building based on the received roof measurements (e.g., those generated by, received from or found in a three dimensional model of the roof) and a reference distance. The reference distance is a measurement indicative of a distance between a reference point on the roof and a ground surface. This reference distance may be used to determine how for down to extend the walls of the building (e.g., to a ground level) when building a three dimensional digital model of the building to aid in generating wall area measurements. The resulting wall measurements, roof measurements, measurements of areas missing from the wall used to generate a wall estimate report, or a combined roof and wall estimate report including various different identifiers indicating the different features and measurements based on the three dimensional model.

Abstract: Geometric correction of rough wireframe models derived from photographs may include rectification of either a 2D or 3D original wireframe model of a roof structure, derivation of metadata from the original wireframe, in-plane normalization of the wireframe, extrusion into a “rough” 3D wireframe based on the normalized wireframe, and correction of the “rough” 3D wireframe. The correction and normalization may be an iterative process based on initial pitch values, metadata derived from the original or corrected wireframe models and defined constraints regarding relationships between roof portions or segments. The iterative process may repeat adjusting the wireframe model until the adjusting converges to a stable state according to the various defined constraints.

Abstract: A method is provided that includes storing a plurality of data items in a data aggregation system. Each of the plurality of data items is associated with one or more location identifiers indicating a particular point on the earth. The method further includes receiving, by at least one processor, a query indicating a geographic location. Data items having associated location identifiers matching the received geographic location are retrieved from the data aggregation system. The method further includes outputting the retrieved data items.

Abstract: The present disclosure proposes computer-based systems and methods for determining, for an application, the most relevant subset of images across a number of sources of images by identifying images over multiple image providers, aggregating image collection over those images that are candidates for use, evaluating candidate images based on comparing image metadata against customizable image preference criteria, and producing a set of images to be selected either by a user or by a computer for use in the application.

Abstract: A wall area estimation system generates an estimated wall area measurement of a building based on the received roof measurements (e.g., those generated by, received from or found in a three-dimensional model of the roof) and a reference distance. The reference distance is a measurement indicative of a distance between the roof and a model ground surface placed on an image of the building where the walls of the building meet the ground. This reference distance may be used to determine how for down to extend the walls of the building (e.g., to a ground level) when building a three-dimensional digital model of the building to aid in generating wall area measurements. The resulting wall measurements, roof measurements, measurements of areas missing from the wall used to generate a wall estimate report, or a combined roof and wall estimate report including various different identifiers indicating the different features and measurements based on the three-dimensional model.

Abstract: Methods and systems for roof estimation are described. Example embodiments include a roof estimation system, which generates and provides roof estimate reports annotated with indications of the size, geometry, pitch and/or orientation of the roof sections of a building. Generating a roof estimate report may be based on one or more aerial images of a building. In some embodiments, generating a roof estimate report of a specified building roof may include generating a three-dimensional model of the roof, and generating a report that includes one or more views of the three-dimensional model, the views annotated with indications of the dimensions, area, and/or slope of sections of the roof. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: The present disclosure proposes computer-based systems and methods for determining, for an application, the most relevant subset of images across a number of sources of images by identifying images over multiple image providers, aggregating image collection over those images that are candidates for use, evaluating candidate images based on comparing image metadata against customizable image preference criteria, and producing a set of images to be selected either by a user or by a computer for use in the application.

Abstract: Methods and systems for roof estimation are described. Example embodiments include a roof estimation system, which generates and provides roof estimate reports annotated with indications of the size, geometry, pitch and/or orientation of the roof sections of a building. Generating a roof estimate report may be based on one or more aerial images of a building. In some embodiments, generating a roof estimate report of a specified building roof may include generating a three-dimensional model of the roof, and generating a report that includes one or more views of the three-dimensional model, the views annotated with indications of the dimensions, area, and/or slope of sections of the roof. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: User interface systems and methods for roof estimation are described. Example embodiments include a roof estimation system that provides a user interface configured to facilitate roof model generation based on one or more aerial images of a building roof. In one embodiment, roof model generation includes image registration, image lean correction, roof section pitch determination, wire frame model construction, and/or roof model review. The described user interface provides user interface controls that may be manipulated by an operator to perform at least some of the functions of roof model generation. In one embodiment, the user interface provides user interface controls that facilitate the determination of pitch of one or more sections of a building roof. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: User interface systems and methods for roof estimation are described. Example embodiments include a roof estimation system that provides a user interface configured to facilitate roof model generation based on one or more aerial images of a building roof. In one embodiment, roof model generation includes image registration, image lean correction, roof section pitch determination, wire frame model construction, and/or roof model review. The described user interface provides user interface controls that may be manipulated by an operator to perform at least some of the functions of roof model generation. The user interface is further configured to concurrently display roof features onto multiple images of a roof. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.